First study towards linear control of an upper-limb neuroprosthesis with an EEG-based Brain-Computer Interface

  • Javier Pascual*
  • , Francisco Velasco-Alvarez
  • , Klaus Robert Muller
  • , Carmen Vidaurre
  • *Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

9 Citas (Scopus)

Resumen

In this study we show how healthy subjects are able to use a non-invasive Motor Imagery (MI)-based Brain Computer Interface (BCI) to achieve linear control of an upper-limb neuromuscular electrical stimulation (NMES) controlled neuroprosthesis in a simple binary target selection task. Linear BCI control can be achieved if two motor imagery classes can be discriminated with a reliability over 80% in single trial. The results presented in this work show that there was no significant loss of performance using the neuroproshesis in comparison to MI where no stimulation was present. However, it is remarkable how different the experience of the users was in the same experiment. The stimulation either provoked a positive reinforcement feedback, or prevented the user from concentrating in the task.

Idioma originalInglés
Título de la publicación alojada2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
Páginas3269-3273
Número de páginas5
DOI
EstadoPublicada - 2012
Publicado de forma externa
Evento34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, Estados Unidos
Duración: 28 ago 20121 sept 2012

Serie de la publicación

NombreProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (versión impresa)1557-170X

Conferencia

Conferencia34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
País/TerritorioEstados Unidos
CiudadSan Diego, CA
Período28/08/121/09/12

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